wanglang3081的专栏

Applies a fixed-level threshold to each array element.C++: double threshold(InputArraysrc, OutputArray dst, double thresh, doublemaxval, int type)Python:cv2.threshold(src, thresh, maxval

Erodes an image by using a specific structuring element.C++: void erode(InputArraysrc, OutputArray dst, InputArray kernel, Pointanchor=Point(-1,-1), int iterations=1, int borderType=BORDER_C

Converts an image from one color space to another.C++: void cvtColor(InputArraysrc, OutputArray dst, int code, intdstCn=0 )Python:cv2.cvtColor(src, code[, dst[, dstCn]]) → dstC:

Dilates an image by using a specific structuring element.C++: void dilate(InputArraysrc, OutputArray dst, InputArray kernel, Pointanchor=Point(-1,-1), int iterations=1, int borderType=BORDER

Finds an object on a back projection image.C++: int meanShift(InputArrayprobImage, Rect& window, TermCriteria criteria)Python:cv2.meanShift(probImage, window, criteria) → retval, window

Performs advanced morphological transformations.C++: void morphologyEx(InputArraysrc, OutputArray dst, int op, InputArraykernel, Point anchor=Point(-1,-1), int iterations=1, int borderType=B

Allocates new array data if needed.C++:void Mat::create(introws, int cols, int type)C++:void Mat::create(Sizesize, int type)C++: void Mat::create(intndims, const int* sizes, int

http://cn.mathworks.com/examples/matlab-computer-vision/732-face-detection-and-tracking-using-the-klt-algorithmThis example shows how to automatically detect and track a face using feature points.